Dr. Eliezer Upfal

Professor

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Biography

Eliezer Upfal is a professor of computer science at Brown University, where he has been a faculty member since 1998 and served as department chair from 2002-2007. He previously held a position at the Weizmann Institute in Israel and worked as a project manager at the IBM Almaden Research Center. Upfal's primary research interests include the design and analysis of algorithms, particularly in the areas of randomized algorithms and computational statistics. His work encompasses a wide range of applications from combinatorial and stochastic optimization to computational biology and finance. Upfal has authored over 150 research papers and co-authored the textbook “Probability Computing: Randomized Algorithms and Probabilistic Analysis.” He holds a Ph.D. in computer science and has been recognized with numerous awards, including being an ACM Fellow and a recipient of multiple IBM Faculty Awards. Upfal has also received several grants for his funded research, addressing complex problems in algorithmic computation and probabilistic models.

Research Interests

Algorithm Design Analysis of Algorithms Randomized Algorithms Probabilistic Analysis Computational Statistics Stochastic Optimization Computational Biology Computational Finance

Experience

University Professor

1998-01-01 — Present

Brown University • Providence, RI

Professor of Computer Science with a focus on algorithm design and analysis.

Awards

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ACM Fellow

2005-01-01
#

IBM Faculty Award

2003-01-01
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IEEE Fellow

2002-01-01

Courses

Advanced Introduction to Probability Computing Data Science Probability Computing Data Analysis Probabilistic Methods in Computer Science Works that Made Changed Machine Learning Case Analysis Algorithms Data Computational Science

Requirements for Brown University

Doctorate Program
Requirements
GRE General
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Undergraduate degree in Economics or related field
Application Checklist
  • Personal Statement
  • Transcripts
  • 3 Letters of Recommendation
  • GRE Scores
  • TOEFL/IELTS Scores (if applicable)
Specialization Notes

Department: Department of Economics